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2020 – today
- 2024
[i1]Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Josh Kimball, Ling Liu:
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning. CoRR abs/2408.09600 (2024)- 2021
- [b1]Joshua Kimball:
PerfDB + PerlML: Enabling Big Data-Driven Research On Fine-Grained Performance Phenomena. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [c13]Joshua Kimball, Rodrigo Alves Lima, Abhijit Suprem, Qingyang Wang, Yasuhiko Kanemasa, Calton Pu:
PerfML: Smart Management of Complex Performance Data and Analytics. CogMI 2021: 146-155 - [c12]Calton Pu, Qingyang Wang, Yasuhiko Kanemasa, Rodrigo Alves Lima, Joshua Kimball, Shungeng Zhang
, Jianshu Liu, Xuhang Gu:
A Functional Model and Analysis of Next Generation Malware Attacks and Defenses. TPS-ISA 2021: 197-206 - 2020
- [c11]Rodrigo Alves Lima, Joshua Kimball, João Eduardo Ferreira, Calton Pu:
Wise Toolkit: Enabling Microservice-Based System Performance Experiments. CLOUD 2020: 152-163 - [c10]Joshua Kimball, Rodrigo Alves Lima, Yasuhiko Kanemasa, Calton Pu:
PerfDB: A Data Management System for Fine-Grained Performance Anomaly Detection. CIC 2020: 97-106 - [c9]Joshua Kimball, Rodrigo Alves Lima, Calton Pu:
Finding Performance Patterns from Logs with High Confidence. ICWS 2020: 164-178
2010 – 2019
- 2019
- [c8]Joshua Kimball, Calton Pu:
A Method and Tool for Automated Induction of Relations from Quantitative Performance Logs. CLOUD 2019: 11-25 - [c7]Rodrigo Alves Lima, Joshua Kimball, João Eduardo Ferreira, Calton Pu:
Systematic Construction, Execution, and Reproduction of Complex Performance Benchmarks. CLOUD 2019: 26-37 - 2017
- [c6]Chien-An Lai, Josh Kimball, Tao Zhu, Qingyang Wang, Calton Pu:
milliScope: A Fine-Grained Monitoring Framework for Performance Debugging of n-Tier Web Services. ICDCS 2017: 92-102 - [c5]Tao Zhu, Jack Li, Josh Kimball, Junhee Park, Chien-An Lai, Calton Pu, Qingyang Wang:
Limitations of Load Balancing Mechanisms for N-Tier Systems in the Presence of Millibottlenecks. ICDCS 2017: 1367-1377 - [c4]Calton Pu, Joshua Kimball, Chien-An Lai, Tao Zhu, Jack Li, Junhee Park, Qingyang Wang, Deepal Jayasinghe, PengCheng Xiong, Simon Malkowski, Qinyi Wu, Gueyoung Jung, Younggyun Koh, Galen S. Swint:
The Millibottleneck Theory of Performance Bugs, and Its Experimental Verification. ICDCS 2017: 1919-1926 - 2014
- [c3]Chien-An Lai, Qingyang Wang, Josh Kimball, Jack Li, Junhee Park, Calton Pu:
IO Performance Interference among Consolidated n-Tier Applications: Sharing Is Better Than Isolation for Disks. IEEE CLOUD 2014: 24-31 - 2013
- [c2]Deepal Jayasinghe, Josh Kimball, Tao Zhu, Siddharth Choudhary, Calton Pu:
An infrastructure for automating large-scale performance studies and data processing. IEEE BigData 2013: 187-192 - [c1]Deepal Jayasinghe, Josh Kimball, Siddharth Choudhary, Tao Zhu, Calton Pu:
An automated approach to create, store, and analyze large-scale experimental data in clouds. IRI 2013: 357-364
Coauthor Index
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last updated on 2024-09-26 01:54 CEST by the dblp team
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